Multimodal Metric Study for Human-Robot Collaboration

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dc.contributor.authorGreen, S.A.
dc.contributor.authorRichardson, S.
dc.contributor.authorBillinghurst, Mark
dc.contributor.authorChase, Geoff
dc.contributor.authorStiles, R.
dc.date.accessioned2009-04-16T03:47:50Z
dc.date.available2009-04-16T03:47:50Z
dc.date.issued2008en
dc.description.abstractThe aim of our research is to create a system whereby human members of a team can collaborate in a natural way with robots. In this paper we describe a Wizard of Oz (WOZ) study conducted to find the natural speech and gestures people would use when interacting with a mobile robot as a team member. Results of the study show that in the beginning participants used simple speech, but once the users learned that the system understood more complicated speech, they began to use more spatially descriptive language. User responses indicate that gestures aided in spatial communication. The input mode that combined the use of speech and gestures was found to be best. We first discuss previous work and detail how our study contributes to this body of knowledge. Then we describe the design of our WOZ study and discuss the results and issues encountered during the completion of the experiment.en
dc.identifier.citationGreen, S.A., Richardson, S., Billinghurst, M., Chase, J.G., Stiles, R. (2008) Multimodal Metric Study for Human-Robot Collaboration. Sainte-Luce, Martinique: The First International Conference on Advances in Computer-Human Interaction (ACHI 2008), 10-15 Feb 2008.en
dc.identifier.doihttps://doi.org/10.1109/ACHI.2008.8
dc.identifier.urihttp://hdl.handle.net/10092/2317
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjecthuman-robot interactionen
dc.subjectmultimodal interfacesen
dc.subjectspatial dialog systemen
dc.subjectspeechen
dc.subjectgestureen
dc.subjectnatural languageen
dc.subjectWizard-of-Ozen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280206 Speech recognitionen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280209 Intelligent roboticsen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280104 Computer-human interactionen
dc.titleMultimodal Metric Study for Human-Robot Collaborationen
dc.typeConference Contributions - Published
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